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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and fine-tuning generative video models, with a focus on improving interaction quality and efficiency. Capable of conducting thorough evaluations and adapting methodologies based on experimental findings.
Highest-signal resume keywords
Generative Model TrainingVideo Model Fine-TuningExperimental JudgmentClear CommunicationModel Evaluation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Real-Time Model DevelopmentStreaming Generation ModelsLatency InvestigationData CurationModel Behavior AnalysisQuantitative EvaluationsQualitative EvaluationsSpeech and Motion Relationship ImprovementTraining Objective InvestigationRuntime Improvement Techniques
Soft Skills
OwnershipClear CommunicationQuick Learning
Industry Keywords
Video GenerationModel DistillationBehavior AdaptationData CoverageSampling Improvement
About the role
Key responsibilities & impact- Develop real-time and streaming generation models for responsive interaction while maintaining visual quality and consistency over time
- Investigate latency, continuity, and model behavior during longer generation
- Explore character appearance, facial expression, gesture, and body movement
- Improve the relationship between speech and motion across identities and visual styles
- Adapt video models to new data, behaviors, and capabilities through fine-tuning and post-training
- Investigate training objectives and conditioning methods and follow ideas through implementation and evaluation
- Improve generation speed and efficiency through distillation, model-level approaches, and runtime improvements
- Measure quality, latency, and memory effects
- Identify missing data coverage and recurring failure modes; improve curation and sampling
- Develop data that helps models learn desired behavior
- Build quantitative and qualitative evaluations of generated video and interaction experience
- Read, reproduce, and adapt relevant research
- Share experiments, demos, and findings
- Help the team prioritize research directions, time, and compute
Requirements
What you’ll need- Experience training or fine-tuning video or related generative models
- Ability to learn unfamiliar methods quickly and turn ideas into useful experiments
- Good experimental judgment, ownership, and clear communication
Benefits
Comp & perks- Generous company equity
- Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina
- 42 days of paid time off, including 15 PTO days, 10 sick days, 15 company holidays, and 2 floating holidays
- Generous parental leave & fertility support
- 401(k) retirement savings plan
- Lifestyle spending account – $500/month to use however you’d like
- Complimentary lunch and snacks for in-office employees
- One Medical membership
- Benefits listed for U.S.-based roles
